Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

The Land Use Sequence Optimiser (LUSO): A theoretical framework for analysing crop sequences in response to nitrogen, disease and weed populations

Roger Lawes A C and Michael Renton A B
+ Author Affiliations
- Author Affiliations

A CSIRO Sustainable Ecosystems, Centre for Environment and Life Sciences, Private Mail Bag 5, PO Wembley, WA 6913, Australia.

B The University of Western Australia, School of Plant Biology, 35 Stirling Highway, Crawley, WA 6009, Australia.

C Corresponding author. Email: roger.lawes@csiro.au

Crop and Pasture Science 61(10) 835-843 https://doi.org/10.1071/CP10026
Submitted: 27 January 2010  Accepted: 29 June 2010   Published: 14 October 2010

Abstract

The break crop effect, where a non-cereal crop provides relief from soil pathogens, may increase soil nitrogen reserves for a cereal and help minimise populations of herbicide resistant weeds. It is widely used in agriculture to maximise the economic return and yield of cereal crops. In Western Australia, cereal crops are being grown with increasing frequency, at the expense of less profitable break crops and we have developed a land use sequence optimiser (LUSO) to analyse strategic break crop decisions across a suite of price, yield, nitrogen fertiliser cost, soil borne disease load and weed load thresholds. The model is flexible and can easily be parameterised for a wide range of economic, edaphic and biotic parameters. We demonstrate its use in a strategic sense to determine economic and biotic thresholds that force a rotation change in a typical Western Australian cropping system.

Additional keywords: crop sequence, rotation, weeds, disease, optimisation.


References

Bowden JW (2003) Select your nitrogen. A decision tool for quantifying nitrogen availability and crop response in broad-acre farming systems. Department of Agriculture Western Australia, Bulletin 4600, Perth, W. Aust.

Bowen WT, Thornton PK, Hoogenboom G (1998) The simulation of cropping sequences using DSSAT. In ‘Understanding options for agricultural production’. (Eds GY Tsuji, G Hoogenboom, PK Thornton) pp. 313–327. (Kluwer Academic Publishers: Dordrecht, The Netherlands)

Castellazzi MS, Wood GA, Burgess PJ, Morris J, Conrad KF, Perry JN (2008) A systematic representation of crop rotations. Agricultural Systems 97, 26–33.
A systematic representation of crop rotations.Crossref | GoogleScholarGoogle Scholar |

Cousens R, Moss SR, Cussans GW, Wilson BJ (1987) Modeling weed populations in cereals. Reviews of Weed Science 3, 93–112.

Detlefsen NK, Jensen AL (2007) Modelling optimal crop sequences using network flows. Agricultural Systems 94, 566–572.
Modelling optimal crop sequences using network flows.Crossref | GoogleScholarGoogle Scholar |

Dogliotti S, Rossing WAH, van Ittesum MK (2003) ROTAT, a tool for systematically generating crop rotations. European Journal of Agronomy 19, 239–250.
ROTAT, a tool for systematically generating crop rotations.Crossref | GoogleScholarGoogle Scholar |

Dolling PJ, Robertson MJ, Asseng S, Ward PR, Latta RA (2005) Simulating lucerne growth and water use on diverse soil types in a Mediterranean-type environment. Australian Journal of Agricultural Research 56, 503–515.
Simulating lucerne growth and water use on diverse soil types in a Mediterranean-type environment.Crossref | GoogleScholarGoogle Scholar |

Evans J, McNeill AM, Unkovich MJ, Fettell NA, Heenan DP (2001) Net nitrogen balances for cool-season grain legume crops and contributions to wheat nitrogen uptake: a review. Australian Journal of Experimental Agriculture 41, 347–359.
Net nitrogen balances for cool-season grain legume crops and contributions to wheat nitrogen uptake: a review.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3MXkt1Crtr0%3D&md5=893508284e077445e1da74ddf5445bcfCAS |

Gutteridge RJ, Hornby D (2003) Effects of sowing date and volunteers on the infectivity of soil infested with Gaeumannomyces graminis var. tritici and on take-all disease in successive crops of winter wheat. Annals of Applied Biology 143, 275–282.
Effects of sowing date and volunteers on the infectivity of soil infested with Gaeumannomyces graminis var. tritici and on take-all disease in successive crops of winter wheat.Crossref | GoogleScholarGoogle Scholar |

Halloran GM, Lee JW (1979) Plant nitrogen distribution in wheat cultivars. Australian Journal of Agricultural Research 30, 779–789.
Plant nitrogen distribution in wheat cultivars.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL3cXitFeltA%3D%3D&md5=e753619cae91d06afb2a4894d4776327CAS |

Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth N, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn D, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
An overview of APSIM, a model designed for farming systems simulation.Crossref | GoogleScholarGoogle Scholar |

Kingwell RS, Pannell DJ (1987) ‘MIDAS, a bioeconomic model of a dryland farming system.’ (Pudoc: Wageningen, The Netherlands)

Kirkegaard J, Christen O, Krupinsky J, Lyzell D (2008) Break crop benefits in temperate wheat production. Field Crops Research 107, 185–195.
Break crop benefits in temperate wheat production.Crossref | GoogleScholarGoogle Scholar |

Li H, Tapper N, Dean N, Barbetti M, Sivasithamparam K (2006) Enhanced pathogenicity of Leptosphaeria maculans pycnidiospores from paired co-inoculation of Brassica napus cotyledons with ascospores. Annals of Botany 97, 1151–1156.
Enhanced pathogenicity of Leptosphaeria maculans pycnidiospores from paired co-inoculation of Brassica napus cotyledons with ascospores.Crossref | GoogleScholarGoogle Scholar | 16533831PubMed |

Llewellyn R, D’Emden FH, Owen MJ, Powles SB (2009) Herbicide resistance in rigid ryegrass (Lolium rigidum) has not led to higher weed densities in Western Australian cropping fields. Weed Science 57, 61–65.
Herbicide resistance in rigid ryegrass (Lolium rigidum) has not led to higher weed densities in Western Australian cropping fields.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXptF2msg%3D%3D&md5=1e4785f40bcfd973691d3684331b29dfCAS |

Monjardino M, Pannell DJ, Powles SB (2004) The economic value of haying and green manuring in the integrated management of annual ryegrass and wild radish in a Western Australian farming system. Australian Journal of Experimental Agriculture 44, 1195–1203.
The economic value of haying and green manuring in the integrated management of annual ryegrass and wild radish in a Western Australian farming system.Crossref | GoogleScholarGoogle Scholar |

Pannell DJ (1996) Lessons from a decade of whole-farm modelling in Western Australia. Review of Agricultural Economics 18, 373–383.
Lessons from a decade of whole-farm modelling in Western Australia.Crossref | GoogleScholarGoogle Scholar |

Pannell DJ, Stewart V, Bennett A, Monjardino M, Schmidt C, Powles SB (2004) RIM. A bioeconomic model for integrated weed management of Lolium rigidum in Western Australia. Agricultural Systems 79, 305–325.
RIM. A bioeconomic model for integrated weed management of Lolium rigidum in Western Australia.Crossref | GoogleScholarGoogle Scholar |

Parton WJ, Schimel DS, Ojima DS, Cole CV (1994) A general model for soil organic matter dynamics: sensitivity to litter chemistry, texture and management. In ‘Quantitative modeling of soil forming processes’. Soil Science Society of America Special Publication 39. (Eds RB Bryant, RW Arnold) pp. 147–167. (ASA, CSSA and SSSA: Madison, WI)

Probert ME, Carberry PS, McCown RL, Turpin JE (1998) Simulation of legume–cereal rotations using APSIM. Australian Journal of Agricultural Research 49, 317–327.

Robertson M, Bathgate A, Moore A, Lawes R, Lilley J (2009) Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis. Animal Production Science 49, 826–836.
Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis.Crossref | GoogleScholarGoogle Scholar |

Roget DK, Rovira AD (1991) The relationship between incidence of infection by the take-all fungus, rainfall and yield of wheat in South Australia. Australian Journal of Experimental Agriculture 31, 509–513.
The relationship between incidence of infection by the take-all fungus, rainfall and yield of wheat in South Australia.Crossref | GoogleScholarGoogle Scholar |

Salam MU, Khangura RK, Diggle AJ, Barbetti MJ (2002) The annual shower of blackleg ascospores in canola: Can we predict and avoid it? In ‘Agribusiness Crop Updates 2002’. Burswood, Perth, WA. (Eds R Jetner, R Olive, A McLarty, D Eksteen, K Regan, P White, V Stewart) pp. 47–49. (Department of Agriculture and Food Western Australia and the Grains Research and Development Corporation: Perth, W. Aust.)

Saseendran SA, Ma L, Malone R, Heilman P, Ahuja LR, Kanwar RS, Karlen DL, Hoogenboom G (2007) Simulating management effects on crop production, tile drainage, and water quality using RZWQM-DSSAT. Geoderma 140, 297–309.
Simulating management effects on crop production, tile drainage, and water quality using RZWQM-DSSAT.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXnsVKrs7s%3D&md5=8ab629548e9599cfe756ffbea2bf330fCAS |

Seymour M (2009) Four decades of crop sequence trials in Western Australia. In ‘Agribusiness Crop Updates 2009’. Burswood, Perth, WA. (Ed. D Arbrecht) pp. 10–14. (Department of Agriculture and Food Western Australia and the Grains Research and Development Corporation: Perth, W. Aust.)

Timsina J, Humphreys E (2006) Performance of CERES-Rice and CERES-Wheat models in rice–wheat systems: a review. Agricultural Systems 90, 5–31.
Performance of CERES-Rice and CERES-Wheat models in rice–wheat systems: a review.Crossref | GoogleScholarGoogle Scholar |

Yeates JS, Fang CS, Parker CA (1986) Distribution and importance of oat-attacking isolates of Gaeumannomyces graminis var. tritici in Western Australia. Transactions of the British Mycological Society 86, 145–152.
Distribution and importance of oat-attacking isolates of Gaeumannomyces graminis var. tritici in Western Australia.Crossref | GoogleScholarGoogle Scholar |